Birks (BGICF) Long-Term Debt Repayments (2009 - 2024)
Birks (BGICF) recorded Long-Term Debt Repayments of $3.4 million in FY2026 (year ended Mar 28, 2026).
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Analysis
Birks (BGICF) Long-Term Debt Repayments (2009 - 2024) Analysis & Trends
Starting with FY2009, Birks' Long-Term Debt Repayments history includes 18 fiscal years.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 132.5% (FY2021 to FY2026).
- The FY2026 figure is the highest annual Long-Term Debt Repayments since FY2018.
- Per Business Quant data, BGICF's Long-Term Debt Repayments was -$1.01 million in FY2025, -$1.01 million in FY2024, $2.17 million in FY2023 (-22.6%) and $2.8 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | - |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Birks | 6.90 Mn | 1.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2024 | -1.01 Mn |
| Sep 23, 2023 | -1.01 Mn |
| Sep 24, 2022 | -1.05 Mn |
| Sep 25, 2021 | -1.76 Mn |
| Sep 28, 2019 | -840,000.00 |
| Sep 24, 2016 | -2.05 Mn |
| Sep 26, 2015 | -715,000.00 |
| Sep 27, 2014 | -776,000.00 |
| Sep 28, 2013 | -1.55 Mn |
| Sep 29, 2012 | -4.89 Mn |
| Sep 24, 2011 | -2.10 Mn |
| Sep 25, 2010 | -1.92 Mn |
| Sep 26, 2009 | -1.96 Mn |
| Mar 28, 2009 | 368,000.00 |
API Access
Birks Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "BGICF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();